@article{7303d541e395467ca8f55b875f6a6838,
title = "Natural language processing models that automate programming will transform chemistry research and teaching",
abstract = "Natural language processing models have emerged that can generate useable software and automate a number of programming tasks with high fidelity. These tools have yet to have an impact on the chemistry community. Yet, our initial testing demonstrates that this form of artificial intelligence is poised to transform chemistry and chemical engineering research. Here, we review developments that brought us to this point, examine applications in chemistry, and give our perspective on how this may fundamentally alter research and teaching.",
author = "Hocky, {Glen M.} and White, {Andrew D.}",
note = "Funding Information: Research reported in this work was supported by the National Institute of General Medical Sciences of the National Institutes of Health under award number R35GM137966 (to ADW) and R35GM138312 (to GMH). We thank John D. Chodera for a helpful discussion on Twitter of how some code examples could be seemingly correct while producing poor or incorrect answers if it is not checked that a proper version of an algorithm is employed. Publisher Copyright: {\textcopyright} 2022 The Author(s). Published by the Royal Society of Chemistry.",
year = "2022",
month = apr,
day = "1",
doi = "10.1039/D1DD00009H",
language = "English (US)",
volume = "1",
pages = "79--83",
journal = "Digital Discovery",
issn = "2635-098X",
publisher = "Royal Society of Chemistry",
number = "2",
}